activity
20172022
most citedChannel Pruning for Accelerating Very Deep Neural Networks

353 citations · 376 across the 6 of their papers we have counts for

collaborators

12 papers

cs.CV20222 cited

Pruning Very Deep Neural Network Channels for Efficient Inference

Yihui He

In this paper, we introduce a new channel pruning method to accelerate very deep convolutional neural networks. Given a trained CNN model, we propose an iterative two-step algorith…

cs.CV2020

Motion Prediction in Visual Object Tracking

Jianren Wang, Yihui He

Visual object tracking (VOT) is an essential component for many applications, such as autonomous driving or assistive robotics. However, recent works tend to develop accurate syste…

cs.CV2020

Epipolar Transformers

Yihui He, Rui Yan, Katerina Fragkiadaki +1

A common approach to localize 3D human joints in a synchronized and calibrated multi-view setup consists of two-steps: (1) apply a 2D detector separately on each view to localize j…

cs.CV2019

Deep Mixture Density Network for Probabilistic Object Detection

Yihui He, Jianren Wang

Mistakes/uncertainties in object detection could lead to catastrophes when deploying robots in the real world. In this paper, we measure the uncertainties of object localization to…

cs.CV2019

MoBiNet: A Mobile Binary Network for Image Classification

Hai Phan, Dang Huynh, Yihui He +2

MobileNet and Binary Neural Networks are two among the most widely used techniques to construct deep learning models for performing a variety of tasks on mobile and embedded platfo…

cs.CV201910 cited

Prediction-Tracking-Segmentation

Jianren Wang, Yihui He, Xiaobo Wang +2

We introduce a prediction driven method for visual tracking and segmentation in videos. Instead of solely relying on matching with appearance cues for tracking, we build a predicti…